Scale AI > 实例探究 > Advanced.farm 快速扩展苹果采摘业务

Advanced.farm 快速扩展苹果采摘业务

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技术
  • 分析与建模 - 机器学习
适用行业
  • 农业
  • 教育
适用功能
  • 质量保证
用例
  • 计算机视觉
  • 视觉质量检测
服务
  • 测试与认证
  • 培训
关于客户
Advanced.farm 是一家利用机器人技术自动完成农业中最艰巨任务的公司,致力于打造农业的未来,使农场更安全、更高效。他们专注于资源最密集的任务,并拥有草莓和苹果采摘的自动化解决方案。他们计划在不久的将来扩展到其他挑战。 Advanced.farm 正在通过结合先进的机器人技术、自主导航和最先进的计算机视觉机器学习 (CVML) 堆栈来构建先进的农业设备平台。
挑战
Advanced.farm 是一家专注于利用机器人技术实现农业任务自动化的公司,在提高其苹果采摘能力方面面临着挑战。苹果品种繁多,采摘季节短,很难跟上步伐。当他们为苹果开发计算机视觉机器学习 (CVML) 功能时,他们需要一个标签解决方案,使他们能够定期创建新项目并快速获得标签图像的周转。为了在第一个苹果采摘季节取得成功,他们必须通过注释管道快速处理大量图像,适应不断变化的苹果品种,并确保他们的模型在真实情况下尽可能准确和高效数据。
解决方案
为了应对这一挑战,Advanced.farm 开始与 Scale Rapid 合作获取大量高质量注释。这些注释提供了 Advanced.farm 改进其模型所需的数据。最初,他们使用 Scale Studio,利用他们的标签团队来利用他们的领域专业知识。然而,他们很快意识到,他们希望训练模型的数据集大小需要更多的工作,超出了内部员工的处理能力。为了管理从草莓到苹果以及规模到新果园的过渡,Advanced.farm 转向 Scale,通过准确标记的苹果可靠、稳健地生成训练数据。借助 Scale Rapid,他们能够在 24 小时内获得高质量数据,这有助于他们根据需求的变化在整个苹果季节进行迭代。 Advanced.farm 要求在 24 小时内返回 50,000 个注释,而 Scale 在该时间内高质量地完成了这些注释。
运营影响
  • With the help of Scale Rapid, Advanced.farm was able to start picking apples at new orchards faster. They found the partner they needed to enable them to scale quickly. This partnership not only helped them in their current operations but also set the stage for their future growth into new farms and additional fruits and vegetables. The ability to quickly and accurately label images allowed them to improve their models and increase the efficiency of their operations, ultimately leading to a more productive apple-picking season.
数量效益
  • Advanced.farm was able to get quality data within 24 hours with Scale Rapid, compared to a week with previous methods.
  • Scale Rapid was able to complete 50,000 annotations within 24 hours, a task that took other providers a full week to complete.
  • Advanced.farm was able to create projects with multiple complex attributes and receive quality turnaround quickly, improving the efficiency of its data pipelines.

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